{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/dander/Documents/Box Sync/Research/DPTE/SurvExpvsDPTE/3PA(R&R)/R&R/Final/Dataverse/InfoPres_AppendixTables_StataLog.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}15 Feb 2018, 15:30:56

{com}. do "/var/folders/57/1217dmf107xg__cyv0600f1h0000gn/T//SD00400.000000"
{txt}
{com}. ***Appendix Tables X1 to X3.
.    
.    
. *****TABLE X1. Descriptive statistics of the sample
.   *tab1 Groups Female Hispanic Black Age Educ6 Interest Libcon PartyID7 
.   *sum Age Educ6 Interest Libcon PartyID7
. 
. tab Female Groups, chi2

 {txt}Is Subj a {c |}       Information Presenation Groups
    woman? {c |} News Arti  Basic Dyn  Static In  Full Dyno {c |}     Total
{hline 11}{c +}{hline 44}{c +}{hline 10}
      Male {c |}{res}       107        104        104        107 {txt}{c |}{res}       422 
{txt}    Female {c |}{res}        93         85         83         93 {txt}{c |}{res}       354 
{txt}{hline 11}{c +}{hline 44}{c +}{hline 10}
     Total {c |}{res}       200        189        187        200 {txt}{c |}{res}       776 

{txt}          Pearson chi2({res}3{txt}) = {res}  0.2717  {txt} Pr = {res}0.965
{txt}
{com}. tab Hispanic Groups, chi2

     {txt}Is Subj {c |}       Information Presenation Groups
   hispanic? {c |} News Arti  Basic Dyn  Static In  Full Dyno {c |}     Total
{hline 13}{c +}{hline 44}{c +}{hline 10}
Not hispanic {c |}{res}       183        174        173        174 {txt}{c |}{res}       704 
{txt}    Hispanic {c |}{res}        17         15         13         26 {txt}{c |}{res}        71 
{txt}{hline 13}{c +}{hline 44}{c +}{hline 10}
       Total {c |}{res}       200        189        186        200 {txt}{c |}{res}       775 

{txt}          Pearson chi2({res}3{txt}) = {res}  5.0416  {txt} Pr = {res}0.169
{txt}
{com}. tab Black Groups, chi2

   {txt}Is Subj {c |}       Information Presenation Groups
    black? {c |} News Arti  Basic Dyn  Static In  Full Dyno {c |}     Total
{hline 11}{c +}{hline 44}{c +}{hline 10}
 Not Black {c |}{res}       189        176        176        183 {txt}{c |}{res}       724 
{txt}     Black {c |}{res}        11         13         11         17 {txt}{c |}{res}        52 
{txt}{hline 11}{c +}{hline 44}{c +}{hline 10}
     Total {c |}{res}       200        189        187        200 {txt}{c |}{res}       776 

{txt}          Pearson chi2({res}3{txt}) = {res}  1.7067  {txt} Pr = {res}0.635
{txt}
{com}. tab Republican Groups, chi2

{txt}Was Subj a {c |}       Information Presenation Groups
Republican {c |} News Arti  Basic Dyn  Static In  Full Dyno {c |}     Total
{hline 11}{c +}{hline 44}{c +}{hline 10}
        No {c |}{res}       162        149        150        143 {txt}{c |}{res}       604 
{txt}       Yes {c |}{res}        37         38         37         57 {txt}{c |}{res}       169 
{txt}{hline 11}{c +}{hline 44}{c +}{hline 10}
     Total {c |}{res}       199        187        187        200 {txt}{c |}{res}       773 

{txt}          Pearson chi2({res}3{txt}) = {res}  7.1353  {txt} Pr = {res}0.068
{txt}
{com}. tab Democrat Groups, chi2

{txt}Was Subj a {c |}       Information Presenation Groups
  Democrat {c |} News Arti  Basic Dyn  Static In  Full Dyno {c |}     Total
{hline 11}{c +}{hline 44}{c +}{hline 10}
        No {c |}{res}        64         66         71         90 {txt}{c |}{res}       291 
{txt}       Yes {c |}{res}       135        121        116        110 {txt}{c |}{res}       482 
{txt}{hline 11}{c +}{hline 44}{c +}{hline 10}
     Total {c |}{res}       199        187        187        200 {txt}{c |}{res}       773 

{txt}          Pearson chi2({res}3{txt}) = {res}  7.6074  {txt} Pr = {res}0.055
{txt}
{com}. 
. oneway Age Groups, tab

{txt}Information {c |}
Presenation {c |}     Summary of How old are you?
     Groups {c |}        Mean   Std. Dev.       Freq.
{hline 12}{c +}{hline 36}
  News Arti {c |}  {res}     33.96   10.727244         200
  {txt}Basic Dyn {c |}  {res} 33.767196   10.604535         189
  {txt}Static In {c |}  {res}  35.44385    11.01762         187
  {txt}Full Dyno {c |}  {res}     33.27   9.7324562         200
{txt}{hline 12}{c +}{hline 36}
      Total {c |}  {res} 34.092784   10.532244         776

                        {txt}Analysis of Variance
    Source              SS         df      MS            F     Prob > F
{hline 72}
Between groups     {res} 500.302546      3   166.767515      1.51     0.2115
{txt} Within groups     {res}  85469.017    772   110.711162
{txt}{hline 72}
    Total          {res} 85969.3196    775   110.928154

{txt}Bartlett's test for equal variances:  chi2({res}3{txt}) = {res}  3.2797{txt}  Prob>chi2 = {res}0.350
{txt}
{com}. oneway Educ6 Groups, tab

{txt}Information {c |} Summary of How much education does
Presenation {c |}             Subj have?
     Groups {c |}        Mean   Std. Dev.       Freq.
{hline 12}{c +}{hline 36}
  News Arti {c |}  {res}     3.385   .83079849         200
  {txt}Basic Dyn {c |}  {res} 3.4444444   .85882982         189
  {txt}Static In {c |}  {res} 3.5187166   .79880452         187
  {txt}Full Dyno {c |}  {res}     3.435   .91650143         200
{txt}{hline 12}{c +}{hline 36}
      Total {c |}  {res} 3.4445876   .85278842         776

                        {txt}Analysis of Variance
    Source              SS         df      MS            F     Prob > F
{hline 72}
Between groups     {res}  1.7561094      3   .585369799      0.80     0.4916
{txt} Within groups     {res} 561.861159    772   .727799428
{txt}{hline 72}
    Total          {res} 563.617268    775   .727248088

{txt}Bartlett's test for equal variances:  chi2({res}3{txt}) = {res}  3.9699{txt}  Prob>chi2 = {res}0.265
{txt}
{com}. oneway Interest Groups, tab

{txt}Information {c |}  Summary of How interested is Subj
Presenation {c |}       in politics generally?
     Groups {c |}        Mean   Std. Dev.       Freq.
{hline 12}{c +}{hline 36}
  News Arti {c |}  {res}      2.96   .75581498         200
  {txt}Basic Dyn {c |}  {res}  2.984127   .72549463         189
  {txt}Static In {c |}  {res} 2.9946524   .78628927         187
  {txt}Full Dyno {c |}  {res}      2.99   .70881031         200
{txt}{hline 12}{c +}{hline 36}
      Total {c |}  {res} 2.9819588   .74292137         776

                        {txt}Analysis of Variance
    Source              SS         df      MS            F     Prob > F
{hline 72}
Between groups     {res} .140389322      3   .046796441      0.08     0.9685
{txt} Within groups     {res} 427.607033    772   .553895121
{txt}{hline 72}
    Total          {res} 427.747423    775   .551932158

{txt}Bartlett's test for equal variances:  chi2({res}3{txt}) = {res}  2.4140{txt}  Prob>chi2 = {res}0.491
{txt}
{com}. oneway PartyID7 Groups, tab

{txt}Information {c |}   Summary of Partisanship on 7-pt
Presenation {c |}                scale
     Groups {c |}        Mean   Std. Dev.       Freq.
{hline 12}{c +}{hline 36}
  News Arti {c |}  {res}  3.040201   1.6902549         199
  {txt}Basic Dyn {c |}  {res} 2.9839572    1.770353         187
  {txt}Static In {c |}  {res} 3.0962567   1.7509865         187
  {txt}Full Dyno {c |}  {res}     3.425   1.9190594         200
{txt}{hline 12}{c +}{hline 36}
      Total {c |}  {res} 3.1397154   1.7904868         773

                        {txt}Analysis of Variance
    Source              SS         df      MS            F     Prob > F
{hline 72}
Between groups     {res} 23.1380941      3   7.71269803      2.42     0.0650
{txt} Within groups     {res} 2451.77264    769   3.18826091
{txt}{hline 72}
    Total          {res} 2474.91074    772   3.20584292

{txt}Bartlett's test for equal variances:  chi2({res}3{txt}) = {res}  3.4813{txt}  Prob>chi2 = {res}0.323
{txt}
{com}. oneway Libcon Groups, tab

{txt}Information {c |} Summary of Where is Subj on 7-point
Presenation {c |}            libcon scale?
     Groups {c |}        Mean   Std. Dev.       Freq.
{hline 12}{c +}{hline 36}
  News Arti {c |}  {res}     3.175   1.5673731         200
  {txt}Basic Dyn {c |}  {res} 3.1058201   1.6756764         189
  {txt}Static In {c |}  {res} 3.3368984   1.6060628         187
  {txt}Full Dyno {c |}  {res}     3.455   1.7095578         200
{txt}{hline 12}{c +}{hline 36}
      Total {c |}  {res} 3.2693299   1.6432501         776

                        {txt}Analysis of Variance
    Source              SS         df      MS            F     Prob > F
{hline 72}
Between groups     {res} 14.5810526      3   4.86035086      1.81     0.1447
{txt} Within groups     {res}   2078.129    772   2.69187694
{txt}{hline 72}
    Total          {res} 2092.71005    775   2.70027103

{txt}Bartlett's test for equal variances:  chi2({res}3{txt}) = {res}  1.8314{txt}  Prob>chi2 = {res}0.608
{txt}
{com}. 
. *multinomial logit to assess group composition balance
. 
. mlogit Groups Female Hispanic Black Age Educ6 Interest Republican Democrat Libcon, baseoutcome(1)

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-1069.7787}  
Iteration 1:{space 3}log likelihood = {res:-1055.8309}  
Iteration 2:{space 3}log likelihood = {res:-1055.7681}  
Iteration 3:{space 3}log likelihood = {res:-1055.7681}  
{res}
{txt}Multinomial logistic regression{col 51}Number of obs{col 67}= {res}       772
{txt}{col 51}LR chi2({res}27{txt}){col 67}= {res}     28.02
{txt}{col 51}Prob > chi2{col 67}= {res}    0.4099
{txt}Log likelihood = {res}-1055.7681{txt}{col 51}Pseudo R2{col 67}= {res}    0.0131

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         Groups{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}News_Articles  {col 17}{txt}{c |}  (base outcome)
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Basic_Dyno_Brd  {txt}{c |}
{space 9}Female {c |}{col 17}{res}{space 2}-.0478895{col 29}{space 2} .2128974{col 40}{space 1}   -0.22{col 49}{space 3}0.822{col 57}{space 4}-.4651608{col 70}{space 3} .3693818
{txt}{space 7}Hispanic {c |}{col 17}{res}{space 2}-.0446053{col 29}{space 2} .3751306{col 40}{space 1}   -0.12{col 49}{space 3}0.905{col 57}{space 4}-.7798479{col 70}{space 3} .6906372
{txt}{space 10}Black {c |}{col 17}{res}{space 2} .2678138{col 29}{space 2} .4310614{col 40}{space 1}    0.62{col 49}{space 3}0.534{col 57}{space 4} -.577051{col 70}{space 3} 1.112679
{txt}{space 12}Age {c |}{col 17}{res}{space 2}-.0033299{col 29}{space 2} .0102442{col 40}{space 1}   -0.33{col 49}{space 3}0.745{col 57}{space 4}-.0234082{col 70}{space 3} .0167485
{txt}{space 10}Educ6 {c |}{col 17}{res}{space 2} .0680347{col 29}{space 2}  .121521{col 40}{space 1}    0.56{col 49}{space 3}0.576{col 57}{space 4}-.1701421{col 70}{space 3} .3062114
{txt}{space 7}Interest {c |}{col 17}{res}{space 2}  .014188{col 29}{space 2} .1447746{col 40}{space 1}    0.10{col 49}{space 3}0.922{col 57}{space 4} -.269565{col 70}{space 3}  .297941
{txt}{space 5}Republican {c |}{col 17}{res}{space 2} .1962861{col 29}{space 2}  .386369{col 40}{space 1}    0.51{col 49}{space 3}0.611{col 57}{space 4}-.5609832{col 70}{space 3} .9535554
{txt}{space 7}Democrat {c |}{col 17}{res}{space 2}-.3356166{col 29}{space 2} .3325981{col 40}{space 1}   -1.01{col 49}{space 3}0.313{col 57}{space 4}-.9874968{col 70}{space 3} .3162637
{txt}{space 9}Libcon {c |}{col 17}{res}{space 2}-.1327775{col 29}{space 2} .0941725{col 40}{space 1}   -1.41{col 49}{space 3}0.159{col 57}{space 4}-.3173522{col 70}{space 3} .0517972
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} .3857662{col 29}{space 2}  .764751{col 40}{space 1}    0.50{col 49}{space 3}0.614{col 57}{space 4}-1.113118{col 70}{space 3} 1.884651
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Static_Info_Brd {txt}{c |}
{space 9}Female {c |}{col 17}{res}{space 2}-.0635697{col 29}{space 2} .2138513{col 40}{space 1}   -0.30{col 49}{space 3}0.766{col 57}{space 4}-.4827106{col 70}{space 3} .3555711
{txt}{space 7}Hispanic {c |}{col 17}{res}{space 2}-.1389737{col 29}{space 2} .3891672{col 40}{space 1}   -0.36{col 49}{space 3}0.721{col 57}{space 4}-.9017275{col 70}{space 3} .6237801
{txt}{space 10}Black {c |}{col 17}{res}{space 2} .0692233{col 29}{space 2} .4473614{col 40}{space 1}    0.15{col 49}{space 3}0.877{col 57}{space 4}-.8075889{col 70}{space 3} .9460355
{txt}{space 12}Age {c |}{col 17}{res}{space 2} .0118525{col 29}{space 2} .0099154{col 40}{space 1}    1.20{col 49}{space 3}0.232{col 57}{space 4}-.0075813{col 70}{space 3} .0312863
{txt}{space 10}Educ6 {c |}{col 17}{res}{space 2} .1769421{col 29}{space 2} .1217912{col 40}{space 1}    1.45{col 49}{space 3}0.146{col 57}{space 4}-.0617642{col 70}{space 3} .4156484
{txt}{space 7}Interest {c |}{col 17}{res}{space 2}  .020109{col 29}{space 2} .1453937{col 40}{space 1}    0.14{col 49}{space 3}0.890{col 57}{space 4}-.2648574{col 70}{space 3} .3050754
{txt}{space 5}Republican {c |}{col 17}{res}{space 2}-.3312264{col 29}{space 2} .3789067{col 40}{space 1}   -0.87{col 49}{space 3}0.382{col 57}{space 4} -1.07387{col 70}{space 3} .4114171
{txt}{space 7}Democrat {c |}{col 17}{res}{space 2}-.3112533{col 29}{space 2} .3262607{col 40}{space 1}   -0.95{col 49}{space 3}0.340{col 57}{space 4}-.9507125{col 70}{space 3} .3282058
{txt}{space 9}Libcon {c |}{col 17}{res}{space 2} .0468435{col 29}{space 2} .0924938{col 40}{space 1}    0.51{col 49}{space 3}0.613{col 57}{space 4} -.134441{col 70}{space 3} .2281279
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} -1.00016{col 29}{space 2} .7679689{col 40}{space 1}   -1.30{col 49}{space 3}0.193{col 57}{space 4}-2.505351{col 70}{space 3} .5050316
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Full_Dyno_Brd   {txt}{c |}
{space 9}Female {c |}{col 17}{res}{space 2} .0779235{col 29}{space 2}  .210636{col 40}{space 1}    0.37{col 49}{space 3}0.711{col 57}{space 4}-.3349154{col 70}{space 3} .4907624
{txt}{space 7}Hispanic {c |}{col 17}{res}{space 2} .5053359{col 29}{space 2} .3365839{col 40}{space 1}    1.50{col 49}{space 3}0.133{col 57}{space 4}-.1543564{col 70}{space 3} 1.165028
{txt}{space 10}Black {c |}{col 17}{res}{space 2} .4681467{col 29}{space 2} .4103098{col 40}{space 1}    1.14{col 49}{space 3}0.254{col 57}{space 4}-.3360457{col 70}{space 3} 1.272339
{txt}{space 12}Age {c |}{col 17}{res}{space 2}-.0097397{col 29}{space 2} .0103423{col 40}{space 1}   -0.94{col 49}{space 3}0.346{col 57}{space 4}-.0300103{col 70}{space 3} .0105308
{txt}{space 10}Educ6 {c |}{col 17}{res}{space 2} .0851374{col 29}{space 2} .1197182{col 40}{space 1}    0.71{col 49}{space 3}0.477{col 57}{space 4} -.149506{col 70}{space 3} .3197808
{txt}{space 7}Interest {c |}{col 17}{res}{space 2}  .063015{col 29}{space 2} .1429224{col 40}{space 1}    0.44{col 49}{space 3}0.659{col 57}{space 4}-.2171077{col 70}{space 3} .3431376
{txt}{space 5}Republican {c |}{col 17}{res}{space 2} .3266993{col 29}{space 2}  .365616{col 40}{space 1}    0.89{col 49}{space 3}0.372{col 57}{space 4}-.3898949{col 70}{space 3} 1.043293
{txt}{space 7}Democrat {c |}{col 17}{res}{space 2}-.5055285{col 29}{space 2} .3249358{col 40}{space 1}   -1.56{col 49}{space 3}0.120{col 57}{space 4}-1.142391{col 70}{space 3}  .131334
{txt}{space 9}Libcon {c |}{col 17}{res}{space 2} -.047173{col 29}{space 2} .0904728{col 40}{space 1}   -0.52{col 49}{space 3}0.602{col 57}{space 4}-.2244964{col 70}{space 3} .1301504
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} .1234735{col 29}{space 2}  .753702{col 40}{space 1}    0.16{col 49}{space 3}0.870{col 57}{space 4}-1.353755{col 70}{space 3} 1.600702
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. 
. 
. 
. *****TABLE X2. Difference in Proportion tests of In-Party evalutions, by Information Group
. 
. *In-Party Cand FT
. *News Articles:
. ranksum IPCandFT if Groups==1, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}     97{col 26}      9154{col 38}    9748.5
         {txt}Yes {c |}{res}{col 17}    103{col 26}     10946{col 38}   10351.5
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    200{col 26}     20100{col 38}     20100

{txt}unadjusted variance{col 22}{res} 167349.25
{txt}adjustment for ties{col 22}{res}   -510.60
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 166838.65

{txt}Ho: IPCandFT(FemCand==No) = IPCandFT(FemCand==Yes)
{col 14}z = {res} -1.455
{txt}{col 5}Prob > |z| = {res}  0.1455
{txt}
{com}. 
. *Minimal Dynamic Board
. ranksum IPCandFT if Groups==2, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}    102{col 26}    8893.5{col 38}      9690
         {txt}Yes {c |}{res}{col 17}     87{col 26}    9061.5{col 38}      8265
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    189{col 26}     17955{col 38}     17955

{txt}unadjusted variance{col 22}{res} 140505.00
{txt}adjustment for ties{col 22}{res}   -413.71
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 140091.29

{txt}Ho: IPCandFT(FemCand==No) = IPCandFT(FemCand==Yes)
{col 14}z = {res} -2.128
{txt}{col 5}Prob > |z| = {res}  0.0333
{txt}
{com}. 
. *Static Board:
. ranksum IPCandFT if Groups==3, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}     95{col 26}    8776.5{col 38}      8930
         {txt}Yes {c |}{res}{col 17}     92{col 26}    8801.5{col 38}      8648
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    187{col 26}     17578{col 38}     17578

{txt}unadjusted variance{col 22}{res} 136926.67
{txt}adjustment for ties{col 22}{res}   -191.73
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 136734.94

{txt}Ho: IPCandFT(FemCand==No) = IPCandFT(FemCand==Yes)
{col 14}z = {res} -0.415
{txt}{col 5}Prob > |z| = {res}  0.6781
{txt}
{com}. 
. *Maximum Dynamic Board
. ranksum IPCandFT if Groups==4, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}    111{col 26}   10323.5{col 38}   11155.5
         {txt}Yes {c |}{res}{col 17}     89{col 26}    9776.5{col 38}    8944.5
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    200{col 26}     20100{col 38}     20100

{txt}unadjusted variance{col 22}{res} 165473.25
{txt}adjustment for ties{col 22}{res}   -311.64
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 165161.61

{txt}Ho: IPCandFT(FemCand==No) = IPCandFT(FemCand==Yes)
{col 14}z = {res} -2.047
{txt}{col 5}Prob > |z| = {res}  0.0406
{txt}
{com}. 
. *IPCandLibCon for Republicans
. *News Articles:
. ranksum IPCandLibCon if Groups==1 & Republican==1, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}     15{col 26}       243{col 38}       285
         {txt}Yes {c |}{res}{col 17}     22{col 26}       460{col 38}       418
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}     37{col 26}       703{col 38}       703

{txt}unadjusted variance{col 22}{res}   1045.00
{txt}adjustment for ties{col 22}{res}   -160.91
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res}    884.09

{txt}Ho: IPCa~Con(FemCand==No) = IPCa~Con(FemCand==Yes)
{col 14}z = {res} -1.413
{txt}{col 5}Prob > |z| = {res}  0.1578
{txt}
{com}. 
. *Minimal Dynamic Board
. ranksum IPCandLibCon if Groups==2 & Republican==1, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}     19{col 26}     317.5{col 38}     370.5
         {txt}Yes {c |}{res}{col 17}     19{col 26}     423.5{col 38}     370.5
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}     38{col 26}       741{col 38}       741

{txt}unadjusted variance{col 22}{res}   1173.25
{txt}adjustment for ties{col 22}{res}   -192.57
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res}    980.68

{txt}Ho: IPCa~Con(FemCand==No) = IPCa~Con(FemCand==Yes)
{col 14}z = {res} -1.692
{txt}{col 5}Prob > |z| = {res}  0.0906
{txt}
{com}. 
. *Static Board:
. ranksum IPCandLibCon if Groups==3 & Republican==1, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}     11{col 26}     276.5{col 38}       209
         {txt}Yes {c |}{res}{col 17}     26{col 26}     426.5{col 38}       494
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}     37{col 26}       703{col 38}       703

{txt}unadjusted variance{col 22}{res}    905.67
{txt}adjustment for ties{col 22}{res}   -101.45
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res}    804.21

{txt}Ho: IPCa~Con(FemCand==No) = IPCa~Con(FemCand==Yes)
{col 14}z = {res}  2.380
{txt}{col 5}Prob > |z| = {res}  0.0173
{txt}
{com}. 
. *Maximum Dynamic Board
. ranksum IPCandLibCon if Groups==4 & Republican==1, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}     32{col 26}     877.5{col 38}       928
         {txt}Yes {c |}{res}{col 17}     25{col 26}     775.5{col 38}       725
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}     57{col 26}      1653{col 38}      1653

{txt}unadjusted variance{col 22}{res}   3866.67
{txt}adjustment for ties{col 22}{res}   -473.93
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res}   3392.73

{txt}Ho: IPCa~Con(FemCand==No) = IPCa~Con(FemCand==Yes)
{col 14}z = {res} -0.867
{txt}{col 5}Prob > |z| = {res}  0.3859
{txt}
{com}. 
. *IPCandLibCon for Democrats
. *News Articles:
. ranksum IPCandLibCon if Groups==1 & Democrat==1, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}     63{col 26}      4384{col 38}      4284
         {txt}Yes {c |}{res}{col 17}     72{col 26}      4796{col 38}      4896
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    135{col 26}      9180{col 38}      9180

{txt}unadjusted variance{col 22}{res}  51408.00
{txt}adjustment for ties{col 22}{res}  -6064.55
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res}  45343.45

{txt}Ho: IPCa~Con(FemCand==No) = IPCa~Con(FemCand==Yes)
{col 14}z = {res}  0.470
{txt}{col 5}Prob > |z| = {res}  0.6386
{txt}
{com}. 
. *Minimal Dynamic Board
. ranksum IPCandLibCon if Groups==2 & Democrat==1, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}     66{col 26}      4176{col 38}      4026
         {txt}Yes {c |}{res}{col 17}     55{col 26}      3205{col 38}      3355
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    121{col 26}      7381{col 38}      7381

{txt}unadjusted variance{col 22}{res}  36905.00
{txt}adjustment for ties{col 22}{res}  -5166.75
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res}  31738.25

{txt}Ho: IPCa~Con(FemCand==No) = IPCa~Con(FemCand==Yes)
{col 14}z = {res}  0.842
{txt}{col 5}Prob > |z| = {res}  0.3998
{txt}
{com}. 
. *Static Board:
. ranksum IPCandLibCon if Groups==3 & Democrat==1, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}     66{col 26}      3880{col 38}      3861
         {txt}Yes {c |}{res}{col 17}     50{col 26}      2906{col 38}      2925
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    116{col 26}      6786{col 38}      6786

{txt}unadjusted variance{col 22}{res}  32175.00
{txt}adjustment for ties{col 22}{res}  -4348.88
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res}  27826.12

{txt}Ho: IPCa~Con(FemCand==No) = IPCa~Con(FemCand==Yes)
{col 14}z = {res}  0.114
{txt}{col 5}Prob > |z| = {res}  0.9093
{txt}
{com}. 
. *Maximum Dynamic Board
. ranksum IPCandLibCon if Groups==4 & Democrat==1, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}     57{col 26}      3252{col 38}    3163.5
         {txt}Yes {c |}{res}{col 17}     53{col 26}      2853{col 38}    2941.5
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    110{col 26}      6105{col 38}      6105

{txt}unadjusted variance{col 22}{res}  27944.25
{txt}adjustment for ties{col 22}{res}  -3566.49
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res}  24377.76

{txt}Ho: IPCa~Con(FemCand==No) = IPCa~Con(FemCand==Yes)
{col 14}z = {res}  0.567
{txt}{col 5}Prob > |z| = {res}  0.5708
{txt}
{com}. 
. *IPCandCmpsn
. *News Articles:
. ranksum IPCandCmpsn if Groups==1, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}     97{col 26}    9080.5{col 38}    9748.5
         {txt}Yes {c |}{res}{col 17}    103{col 26}   11019.5{col 38}   10351.5
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    200{col 26}     20100{col 38}     20100

{txt}unadjusted variance{col 22}{res} 167349.25
{txt}adjustment for ties{col 22}{res} -42742.90
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 124606.35

{txt}Ho: IPCan~sn(FemCand==No) = IPCan~sn(FemCand==Yes)
{col 14}z = {res} -1.892
{txt}{col 5}Prob > |z| = {res}  0.0584
{txt}
{com}. 
. *Minimal Dynamic Board
. ranksum IPCandCmpsn if Groups==2, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}    102{col 26}    8824.5{col 38}      9690
         {txt}Yes {c |}{res}{col 17}     87{col 26}    9130.5{col 38}      8265
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    189{col 26}     17955{col 38}     17955

{txt}unadjusted variance{col 22}{res} 140505.00
{txt}adjustment for ties{col 22}{res} -37724.12
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 102780.88

{txt}Ho: IPCan~sn(FemCand==No) = IPCan~sn(FemCand==Yes)
{col 14}z = {res} -2.700
{txt}{col 5}Prob > |z| = {res}  0.0069
{txt}
{com}. 
. *Static Board:
. ranksum IPCandCmpsn if Groups==3, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}     95{col 26}    8905.5{col 38}      8930
         {txt}Yes {c |}{res}{col 17}     92{col 26}    8672.5{col 38}      8648
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    187{col 26}     17578{col 38}     17578

{txt}unadjusted variance{col 22}{res} 136926.67
{txt}adjustment for ties{col 22}{res} -22256.70
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 114669.97

{txt}Ho: IPCan~sn(FemCand==No) = IPCan~sn(FemCand==Yes)
{col 14}z = {res} -0.072
{txt}{col 5}Prob > |z| = {res}  0.9423
{txt}
{com}. 
. *Maximum Dynamic Board
. ranksum IPCandCmpsn if Groups==4, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}    111{col 26}   10689.5{col 38}   11155.5
         {txt}Yes {c |}{res}{col 17}     89{col 26}    9410.5{col 38}    8944.5
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    200{col 26}     20100{col 38}     20100

{txt}unadjusted variance{col 22}{res} 165473.25
{txt}adjustment for ties{col 22}{res} -27279.44
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 138193.81

{txt}Ho: IPCan~sn(FemCand==No) = IPCan~sn(FemCand==Yes)
{col 14}z = {res} -1.254
{txt}{col 5}Prob > |z| = {res}  0.2100
{txt}
{com}. 
. *IPCandComp
. *News Articles:
. ranksum IPCandComp if Groups==1, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}     97{col 26}    9098.5{col 38}    9748.5
         {txt}Yes {c |}{res}{col 17}    103{col 26}   11001.5{col 38}   10351.5
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    200{col 26}     20100{col 38}     20100

{txt}unadjusted variance{col 22}{res} 167349.25
{txt}adjustment for ties{col 22}{res} -37323.66
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 130025.59

{txt}Ho: IPCand~p(FemCand==No) = IPCand~p(FemCand==Yes)
{col 14}z = {res} -1.803
{txt}{col 5}Prob > |z| = {res}  0.0715
{txt}
{com}. 
. *Minimal Dynamic Board
. ranksum IPCandComp if Groups==2, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}    102{col 26}    9133.5{col 38}      9690
         {txt}Yes {c |}{res}{col 17}     87{col 26}    8821.5{col 38}      8265
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    189{col 26}     17955{col 38}     17955

{txt}unadjusted variance{col 22}{res} 140505.00
{txt}adjustment for ties{col 22}{res} -29198.26
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 111306.74

{txt}Ho: IPCand~p(FemCand==No) = IPCand~p(FemCand==Yes)
{col 14}z = {res} -1.668
{txt}{col 5}Prob > |z| = {res}  0.0953
{txt}
{com}. 
. *Static Board:
. ranksum IPCandComp if Groups==3, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}     95{col 26}      9237{col 38}      8930
         {txt}Yes {c |}{res}{col 17}     92{col 26}      8341{col 38}      8648
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    187{col 26}     17578{col 38}     17578

{txt}unadjusted variance{col 22}{res} 136926.67
{txt}adjustment for ties{col 22}{res} -26768.04
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 110158.63

{txt}Ho: IPCand~p(FemCand==No) = IPCand~p(FemCand==Yes)
{col 14}z = {res}  0.925
{txt}{col 5}Prob > |z| = {res}  0.3550
{txt}
{com}. 
. *Maximum Dynamic Board
. ranksum IPCandComp if Groups==4, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}    111{col 26}   10685.5{col 38}   11155.5
         {txt}Yes {c |}{res}{col 17}     89{col 26}    9414.5{col 38}    8944.5
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    200{col 26}     20100{col 38}     20100

{txt}unadjusted variance{col 22}{res} 165473.25
{txt}adjustment for ties{col 22}{res} -32062.82
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 133410.43

{txt}Ho: IPCand~p(FemCand==No) = IPCand~p(FemCand==Yes)
{col 14}z = {res} -1.287
{txt}{col 5}Prob > |z| = {res}  0.1982
{txt}
{com}. 
. *IPCandLead
. *News Articles:
. ranksum IPCandLead if Groups==1, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}     97{col 26}      9699{col 38}    9748.5
         {txt}Yes {c |}{res}{col 17}    103{col 26}     10401{col 38}   10351.5
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    200{col 26}     20100{col 38}     20100

{txt}unadjusted variance{col 22}{res} 167349.25
{txt}adjustment for ties{col 22}{res} -36079.94
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 131269.31

{txt}Ho: IPCand~d(FemCand==No) = IPCand~d(FemCand==Yes)
{col 14}z = {res} -0.137
{txt}{col 5}Prob > |z| = {res}  0.8913
{txt}
{com}. 
. *Minimal Dynamic Board
. ranksum IPCandLead if Groups==2, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}    102{col 26}    9445.5{col 38}      9690
         {txt}Yes {c |}{res}{col 17}     87{col 26}    8509.5{col 38}      8265
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    189{col 26}     17955{col 38}     17955

{txt}unadjusted variance{col 22}{res} 140505.00
{txt}adjustment for ties{col 22}{res} -39450.49
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 101054.51

{txt}Ho: IPCand~d(FemCand==No) = IPCand~d(FemCand==Yes)
{col 14}z = {res} -0.769
{txt}{col 5}Prob > |z| = {res}  0.4418
{txt}
{com}. 
. *Static Board:
. ranksum IPCandLead if Groups==3, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}     95{col 26}    9274.5{col 38}      8930
         {txt}Yes {c |}{res}{col 17}     92{col 26}    8303.5{col 38}      8648
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    187{col 26}     17578{col 38}     17578

{txt}unadjusted variance{col 22}{res} 136926.67
{txt}adjustment for ties{col 22}{res} -30666.01
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 106260.65

{txt}Ho: IPCand~d(FemCand==No) = IPCand~d(FemCand==Yes)
{col 14}z = {res}  1.057
{txt}{col 5}Prob > |z| = {res}  0.2906
{txt}
{com}. 
. *Maximum Dynamic Board
. ranksum IPCandLead if Groups==4, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}    111{col 26}   10745.5{col 38}   11155.5
         {txt}Yes {c |}{res}{col 17}     89{col 26}    9354.5{col 38}    8944.5
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    200{col 26}     20100{col 38}     20100

{txt}unadjusted variance{col 22}{res} 165473.25
{txt}adjustment for ties{col 22}{res} -29292.60
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 136180.65

{txt}Ho: IPCand~d(FemCand==No) = IPCand~d(FemCand==Yes)
{col 14}z = {res} -1.111
{txt}{col 5}Prob > |z| = {res}  0.2666
{txt}
{com}. 
. *IPCandTrust
. *News Articles:
. ranksum IPCandTrust if Groups==1, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}     97{col 26}      8487{col 38}    9748.5
         {txt}Yes {c |}{res}{col 17}    103{col 26}     11613{col 38}   10351.5
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    200{col 26}     20100{col 38}     20100

{txt}unadjusted variance{col 22}{res} 167349.25
{txt}adjustment for ties{col 22}{res} -42571.58
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 124777.67

{txt}Ho: IPCand~t(FemCand==No) = IPCand~t(FemCand==Yes)
{col 14}z = {res} -3.571
{txt}{col 5}Prob > |z| = {res}  0.0004
{txt}
{com}. 
. *Minimal Dynamic Board
. ranksum IPCandTrust if Groups==2, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}    102{col 26}      8775{col 38}      9690
         {txt}Yes {c |}{res}{col 17}     87{col 26}      9180{col 38}      8265
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    189{col 26}     17955{col 38}     17955

{txt}unadjusted variance{col 22}{res} 140505.00
{txt}adjustment for ties{col 22}{res} -27951.53
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 112553.47

{txt}Ho: IPCand~t(FemCand==No) = IPCand~t(FemCand==Yes)
{col 14}z = {res} -2.727
{txt}{col 5}Prob > |z| = {res}  0.0064
{txt}
{com}. 
. *Static Board:
. ranksum IPCandTrust if Groups==3, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}     95{col 26}    9135.5{col 38}      8930
         {txt}Yes {c |}{res}{col 17}     92{col 26}    8442.5{col 38}      8648
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    187{col 26}     17578{col 38}     17578

{txt}unadjusted variance{col 22}{res} 136926.67
{txt}adjustment for ties{col 22}{res} -32640.44
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 104286.23

{txt}Ho: IPCand~t(FemCand==No) = IPCand~t(FemCand==Yes)
{col 14}z = {res}  0.636
{txt}{col 5}Prob > |z| = {res}  0.5245
{txt}
{com}. 
. *Maximum Dynamic Board
. ranksum IPCandTrust if Groups==4, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}    111{col 26}   11027.5{col 38}   11155.5
         {txt}Yes {c |}{res}{col 17}     89{col 26}    9072.5{col 38}    8944.5
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    200{col 26}     20100{col 38}     20100

{txt}unadjusted variance{col 22}{res} 165473.25
{txt}adjustment for ties{col 22}{res} -28014.04
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 137459.21

{txt}Ho: IPCand~t(FemCand==No) = IPCand~t(FemCand==Yes)
{col 14}z = {res} -0.345
{txt}{col 5}Prob > |z| = {res}  0.7299
{txt}
{com}. 
. *IPCandEcon
. *News Articles:
. ranksum IPCandEcon if Groups==1, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}     97{col 26}      8803{col 38}    9748.5
         {txt}Yes {c |}{res}{col 17}    103{col 26}     11297{col 38}   10351.5
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    200{col 26}     20100{col 38}     20100

{txt}unadjusted variance{col 22}{res} 167349.25
{txt}adjustment for ties{col 22}{res} -45383.11
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 121966.14

{txt}Ho: IPCa~con(FemCand==No) = IPCa~con(FemCand==Yes)
{col 14}z = {res} -2.707
{txt}{col 5}Prob > |z| = {res}  0.0068
{txt}
{com}. 
. *Minimal Dynamic Board
. ranksum IPCandEcon if Groups==2, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}    102{col 26}      8935{col 38}      9690
         {txt}Yes {c |}{res}{col 17}     87{col 26}      9020{col 38}      8265
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    189{col 26}     17955{col 38}     17955

{txt}unadjusted variance{col 22}{res} 140505.00
{txt}adjustment for ties{col 22}{res} -28803.79
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 111701.21

{txt}Ho: IPCa~con(FemCand==No) = IPCa~con(FemCand==Yes)
{col 14}z = {res} -2.259
{txt}{col 5}Prob > |z| = {res}  0.0239
{txt}
{com}. 
. *Static Board:
. ranksum IPCandEcon if Groups==3, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}     95{col 26}    9198.5{col 38}      8930
         {txt}Yes {c |}{res}{col 17}     92{col 26}    8379.5{col 38}      8648
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    187{col 26}     17578{col 38}     17578

{txt}unadjusted variance{col 22}{res} 136926.67
{txt}adjustment for ties{col 22}{res} -28678.64
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 108248.02

{txt}Ho: IPCa~con(FemCand==No) = IPCa~con(FemCand==Yes)
{col 14}z = {res}  0.816
{txt}{col 5}Prob > |z| = {res}  0.4145
{txt}
{com}. 
. *Maximum Dynamic Board
. ranksum IPCandEcon if Groups==4, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}    111{col 26}   10990.5{col 38}   11155.5
         {txt}Yes {c |}{res}{col 17}     89{col 26}    9109.5{col 38}    8944.5
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    200{col 26}     20100{col 38}     20100

{txt}unadjusted variance{col 22}{res} 165473.25
{txt}adjustment for ties{col 22}{res} -27758.25
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 137715.00

{txt}Ho: IPCa~con(FemCand==No) = IPCa~con(FemCand==Yes)
{col 14}z = {res} -0.445
{txt}{col 5}Prob > |z| = {res}  0.6566
{txt}
{com}. 
. *IPCandMil
. *News Articles:
. ranksum IPCandMil if Groups==1, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}     97{col 26}    9796.5{col 38}    9748.5
         {txt}Yes {c |}{res}{col 17}    103{col 26}   10303.5{col 38}   10351.5
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    200{col 26}     20100{col 38}     20100

{txt}unadjusted variance{col 22}{res} 167349.25
{txt}adjustment for ties{col 22}{res} -24569.58
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 142779.67

{txt}Ho: IPCand~l(FemCand==No) = IPCand~l(FemCand==Yes)
{col 14}z = {res}  0.127
{txt}{col 5}Prob > |z| = {res}  0.8989
{txt}
{com}. 
. *Minimal Dynamic Board
. ranksum IPCandMil if Groups==2, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}    102{col 26}      9549{col 38}      9690
         {txt}Yes {c |}{res}{col 17}     87{col 26}      8406{col 38}      8265
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    189{col 26}     17955{col 38}     17955

{txt}unadjusted variance{col 22}{res} 140505.00
{txt}adjustment for ties{col 22}{res} -30426.27
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 110078.73

{txt}Ho: IPCand~l(FemCand==No) = IPCand~l(FemCand==Yes)
{col 14}z = {res} -0.425
{txt}{col 5}Prob > |z| = {res}  0.6709
{txt}
{com}. 
. *Static Board:
. ranksum IPCandMil if Groups==3, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}     95{col 26}      8791{col 38}      8930
         {txt}Yes {c |}{res}{col 17}     92{col 26}      8787{col 38}      8648
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    187{col 26}     17578{col 38}     17578

{txt}unadjusted variance{col 22}{res} 136926.67
{txt}adjustment for ties{col 22}{res} -26213.97
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 110712.70

{txt}Ho: IPCand~l(FemCand==No) = IPCand~l(FemCand==Yes)
{col 14}z = {res} -0.418
{txt}{col 5}Prob > |z| = {res}  0.6761
{txt}
{com}. 
. *Maximum Dynamic Board
. ranksum IPCandMil if Groups==4, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}    111{col 26}   11012.5{col 38}   11155.5
         {txt}Yes {c |}{res}{col 17}     89{col 26}    9087.5{col 38}    8944.5
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    200{col 26}     20100{col 38}     20100

{txt}unadjusted variance{col 22}{res} 165473.25
{txt}adjustment for ties{col 22}{res} -22446.43
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 143026.82

{txt}Ho: IPCand~l(FemCand==No) = IPCand~l(FemCand==Yes)
{col 14}z = {res} -0.378
{txt}{col 5}Prob > |z| = {res}  0.7053
{txt}
{com}. 
. *IPCandPoor
. *News Articles:
. ranksum IPCandPoor if Groups==1, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}     97{col 26}    9139.5{col 38}    9748.5
         {txt}Yes {c |}{res}{col 17}    103{col 26}   10960.5{col 38}   10351.5
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    200{col 26}     20100{col 38}     20100

{txt}unadjusted variance{col 22}{res} 167349.25
{txt}adjustment for ties{col 22}{res} -30224.53
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 137124.72

{txt}Ho: IPCand~r(FemCand==No) = IPCand~r(FemCand==Yes)
{col 14}z = {res} -1.645
{txt}{col 5}Prob > |z| = {res}  0.1001
{txt}
{com}. 
. *Minimal Dynamic Board
. ranksum IPCandPoor if Groups==2, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}    102{col 26}    9322.5{col 38}      9690
         {txt}Yes {c |}{res}{col 17}     87{col 26}    8632.5{col 38}      8265
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    189{col 26}     17955{col 38}     17955

{txt}unadjusted variance{col 22}{res} 140505.00
{txt}adjustment for ties{col 22}{res} -33758.89
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 106746.11

{txt}Ho: IPCand~r(FemCand==No) = IPCand~r(FemCand==Yes)
{col 14}z = {res} -1.125
{txt}{col 5}Prob > |z| = {res}  0.2607
{txt}
{com}. 
. *Static Board:
. ranksum IPCandPoor if Groups==3, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}     95{col 26}    9045.5{col 38}      8930
         {txt}Yes {c |}{res}{col 17}     92{col 26}    8532.5{col 38}      8648
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    187{col 26}     17578{col 38}     17578

{txt}unadjusted variance{col 22}{res} 136926.67
{txt}adjustment for ties{col 22}{res} -20762.97
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 116163.70

{txt}Ho: IPCand~r(FemCand==No) = IPCand~r(FemCand==Yes)
{col 14}z = {res}  0.339
{txt}{col 5}Prob > |z| = {res}  0.7347
{txt}
{com}. 
. *Maximum Dynamic Board
. ranksum IPCandPoor if Groups==4, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}    111{col 26}     11312{col 38}   11155.5
         {txt}Yes {c |}{res}{col 17}     89{col 26}      8788{col 38}    8944.5
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    200{col 26}     20100{col 38}     20100

{txt}unadjusted variance{col 22}{res} 165473.25
{txt}adjustment for ties{col 22}{res} -19241.71
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 146231.54

{txt}Ho: IPCand~r(FemCand==No) = IPCand~r(FemCand==Yes)
{col 14}z = {res}  0.409
{txt}{col 5}Prob > |z| = {res}  0.6824
{txt}
{com}. 
. *IPCandWages
. *News Articles:
. ranksum IPCandWages if Groups==1, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}     97{col 26}    7874.5{col 38}    9748.5
         {txt}Yes {c |}{res}{col 17}    103{col 26}   12225.5{col 38}   10351.5
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    200{col 26}     20100{col 38}     20100

{txt}unadjusted variance{col 22}{res} 167349.25
{txt}adjustment for ties{col 22}{res} -25928.90
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 141420.35

{txt}Ho: IPCand~s(FemCand==No) = IPCand~s(FemCand==Yes)
{col 14}z = {res} -4.983
{txt}{col 5}Prob > |z| = {res}  0.0000
{txt}
{com}. 
. *Minimal Dynamic Board
. ranksum IPCandWages if Groups==2, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}    102{col 26}    8184.5{col 38}      9690
         {txt}Yes {c |}{res}{col 17}     87{col 26}    9770.5{col 38}      8265
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    189{col 26}     17955{col 38}     17955

{txt}unadjusted variance{col 22}{res} 140505.00
{txt}adjustment for ties{col 22}{res} -25661.60
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 114843.40

{txt}Ho: IPCand~s(FemCand==No) = IPCand~s(FemCand==Yes)
{col 14}z = {res} -4.443
{txt}{col 5}Prob > |z| = {res}  0.0000
{txt}
{com}. 
. *Static Board:
. ranksum IPCandWages if Groups==3, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}     95{col 26}      8872{col 38}      8930
         {txt}Yes {c |}{res}{col 17}     92{col 26}      8706{col 38}      8648
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    187{col 26}     17578{col 38}     17578

{txt}unadjusted variance{col 22}{res} 136926.67
{txt}adjustment for ties{col 22}{res} -26121.88
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 110804.79

{txt}Ho: IPCand~s(FemCand==No) = IPCand~s(FemCand==Yes)
{col 14}z = {res} -0.174
{txt}{col 5}Prob > |z| = {res}  0.8617
{txt}
{com}. 
. *Maximum Dynamic Board
. ranksum IPCandWages if Groups==4, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}    111{col 26}   10271.5{col 38}   11155.5
         {txt}Yes {c |}{res}{col 17}     89{col 26}    9828.5{col 38}    8944.5
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    200{col 26}     20100{col 38}     20100

{txt}unadjusted variance{col 22}{res} 165473.25
{txt}adjustment for ties{col 22}{res} -26472.24
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 139001.01

{txt}Ho: IPCand~s(FemCand==No) = IPCand~s(FemCand==Yes)
{col 14}z = {res} -2.371
{txt}{col 5}Prob > |z| = {res}  0.0177
{txt}
{com}. 
. 
. *****TABLE X3. Difference in Proportion tests of In-Party Evaluations, by Information Level
. 
. *In-Party Cand FT
. *LowInfo:
. ranksum IPCandFT if MaxInfo==0, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}    199{col 26}     36028{col 38}     38805
         {txt}Yes {c |}{res}{col 17}    190{col 26}     39827{col 38}     37050
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    389{col 26}     75855{col 38}     75855

{txt}unadjusted variance{col 22}{res}1228825.00
{txt}adjustment for ties{col 22}{res}  -3568.64
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res}1225256.36

{txt}Ho: IPCandFT(FemCand==No) = IPCandFT(FemCand==Yes)
{col 14}z = {res} -2.509
{txt}{col 5}Prob > |z| = {res}  0.0121
{txt}
{com}. 
. *HighInfo
. ranksum IPCandFT if MaxInfo==1, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}    206{col 26}     38016{col 38}     39964
         {txt}Yes {c |}{res}{col 17}    181{col 26}     37062{col 38}     35114
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    387{col 26}     75078{col 38}     75078

{txt}unadjusted variance{col 22}{res}1205580.67
{txt}adjustment for ties{col 22}{res}  -1863.53
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res}1203717.14

{txt}Ho: IPCandFT(FemCand==No) = IPCandFT(FemCand==Yes)
{col 14}z = {res} -1.776
{txt}{col 5}Prob > |z| = {res}  0.0758
{txt}
{com}. 
. *IPCandLibCon for Republicans
. *LowInfo:
. ranksum IPCandLibCon if MaxInfo==0 & Republican==1, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}     34{col 26}      1110{col 38}      1292
         {txt}Yes {c |}{res}{col 17}     41{col 26}      1740{col 38}      1558
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}     75{col 26}      2850{col 38}      2850

{txt}unadjusted variance{col 22}{res}   8828.67
{txt}adjustment for ties{col 22}{res}  -1398.90
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res}   7429.77

{txt}Ho: IPCa~Con(FemCand==No) = IPCa~Con(FemCand==Yes)
{col 14}z = {res} -2.111
{txt}{col 5}Prob > |z| = {res}  0.0347
{txt}
{com}. 
. *HighInfo
. ranksum IPCandLibCon if MaxInfo==1 & Republican==1, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}     43{col 26}      2137{col 38}    2042.5
         {txt}Yes {c |}{res}{col 17}     51{col 26}      2328{col 38}    2422.5
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}     94{col 26}      4465{col 38}      4465

{txt}unadjusted variance{col 22}{res}  17361.25
{txt}adjustment for ties{col 22}{res}  -2024.05
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res}  15337.20

{txt}Ho: IPCa~Con(FemCand==No) = IPCa~Con(FemCand==Yes)
{col 14}z = {res}  0.763
{txt}{col 5}Prob > |z| = {res}  0.4454
{txt}
{com}. 
. 
. *IPCandLibCon for Democrats
. *LowInfo:
. ranksum IPCandLibCon if MaxInfo==0 & Democrat==1, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}    129{col 26}   17038.5{col 38}   16576.5
         {txt}Yes {c |}{res}{col 17}    127{col 26}   15857.5{col 38}   16319.5
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    256{col 26}     32896{col 38}     32896

{txt}unadjusted variance{col 22}{res} 350869.25
{txt}adjustment for ties{col 22}{res} -44506.52
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 306362.73

{txt}Ho: IPCa~Con(FemCand==No) = IPCa~Con(FemCand==Yes)
{col 14}z = {res}  0.835
{txt}{col 5}Prob > |z| = {res}  0.4039
{txt}
{com}. 
. *HighInfo
. ranksum IPCandLibCon if MaxInfo==1 & Democrat==1, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}    123{col 26}   14168.5{col 38}   13960.5
         {txt}Yes {c |}{res}{col 17}    103{col 26}   11482.5{col 38}   11690.5
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    226{col 26}     25651{col 38}     25651

{txt}unadjusted variance{col 22}{res} 239655.25
{txt}adjustment for ties{col 22}{res} -31335.41
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 208319.84

{txt}Ho: IPCa~Con(FemCand==No) = IPCa~Con(FemCand==Yes)
{col 14}z = {res}  0.456
{txt}{col 5}Prob > |z| = {res}  0.6486
{txt}
{com}. 
. 
. *IPCandCmpsn
. *LowInfo:
. ranksum IPCandCmpsn if MaxInfo==0, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}    199{col 26}     35655{col 38}     38805
         {txt}Yes {c |}{res}{col 17}    190{col 26}     40200{col 38}     37050
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    389{col 26}     75855{col 38}     75855

{txt}unadjusted variance{col 22}{res}1228825.00
{txt}adjustment for ties{col 22}{res}-320598.77
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 908226.23

{txt}Ho: IPCan~sn(FemCand==No) = IPCan~sn(FemCand==Yes)
{col 14}z = {res} -3.305
{txt}{col 5}Prob > |z| = {res}  0.0009
{txt}
{com}. return list

{txt}scalars:
                r(N_2) =  {res}190
                {txt}r(N_1) =  {res}199
              {txt}r(Var_a) =  {res}908226.2261481992
                  {txt}r(z) =  {res}-3.305320175386281
            {txt}r(sum_exp) =  {res}38805
            {txt}r(sum_obs) =  {res}35655
             {txt}r(group1) =  {res}0
{txt}
{com}. 
. *HighInfo
. ranksum IPCandCmpsn if MaxInfo==1, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}    206{col 26}   38996.5{col 38}     39964
         {txt}Yes {c |}{res}{col 17}    181{col 26}   36081.5{col 38}     35114
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    387{col 26}     75078{col 38}     75078

{txt}unadjusted variance{col 22}{res}1205580.67
{txt}adjustment for ties{col 22}{res}-197061.53
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res}1008519.13

{txt}Ho: IPCan~sn(FemCand==No) = IPCan~sn(FemCand==Yes)
{col 14}z = {res} -0.963
{txt}{col 5}Prob > |z| = {res}  0.3353
{txt}
{com}. 
. *IPCandComp
. *LowInfo:
. ranksum IPCandComp if MaxInfo==0, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}    199{col 26}     36369{col 38}     38805
         {txt}Yes {c |}{res}{col 17}    190{col 26}     39486{col 38}     37050
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    389{col 26}     75855{col 38}     75855

{txt}unadjusted variance{col 22}{res}1228825.00
{txt}adjustment for ties{col 22}{res}-264861.26
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 963963.74

{txt}Ho: IPCand~p(FemCand==No) = IPCand~p(FemCand==Yes)
{col 14}z = {res} -2.481
{txt}{col 5}Prob > |z| = {res}  0.0131
{txt}
{com}. 
. *HighInfo
. ranksum IPCandComp if MaxInfo==1, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}    206{col 26}     39725{col 38}     39964
         {txt}Yes {c |}{res}{col 17}    181{col 26}     35353{col 38}     35114
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    387{col 26}     75078{col 38}     75078

{txt}unadjusted variance{col 22}{res}1205580.67
{txt}adjustment for ties{col 22}{res}-233042.37
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 972538.30

{txt}Ho: IPCand~p(FemCand==No) = IPCand~p(FemCand==Yes)
{col 14}z = {res} -0.242
{txt}{col 5}Prob > |z| = {res}  0.8085
{txt}
{com}. 
. 
. *IPCandLead
. *LowInfo:
. ranksum IPCandLead if MaxInfo==0, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}    199{col 26}   38156.5{col 38}     38805
         {txt}Yes {c |}{res}{col 17}    190{col 26}   37698.5{col 38}     37050
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    389{col 26}     75855{col 38}     75855

{txt}unadjusted variance{col 22}{res}1228825.00
{txt}adjustment for ties{col 22}{res}-298226.96
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 930598.04

{txt}Ho: IPCand~d(FemCand==No) = IPCand~d(FemCand==Yes)
{col 14}z = {res} -0.672
{txt}{col 5}Prob > |z| = {res}  0.5014
{txt}
{com}. 
. *HighInfo
. ranksum IPCandLead if MaxInfo==1, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}    206{col 26}     39927{col 38}     39964
         {txt}Yes {c |}{res}{col 17}    181{col 26}     35151{col 38}     35114
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    387{col 26}     75078{col 38}     75078

{txt}unadjusted variance{col 22}{res}1205580.67
{txt}adjustment for ties{col 22}{res}-234416.67
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 971163.99

{txt}Ho: IPCand~d(FemCand==No) = IPCand~d(FemCand==Yes)
{col 14}z = {res} -0.038
{txt}{col 5}Prob > |z| = {res}  0.9701
{txt}
{com}. 
. 
. *IPCandTrust
. *LowInfo:
. ranksum IPCandTrust if MaxInfo==0, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}    199{col 26}   34476.5{col 38}     38805
         {txt}Yes {c |}{res}{col 17}    190{col 26}   41378.5{col 38}     37050
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    389{col 26}     75855{col 38}     75855

{txt}unadjusted variance{col 22}{res}1228825.00
{txt}adjustment for ties{col 22}{res}-276835.02
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 951989.98

{txt}Ho: IPCand~t(FemCand==No) = IPCand~t(FemCand==Yes)
{col 14}z = {res} -4.436
{txt}{col 5}Prob > |z| = {res}  0.0000
{txt}
{com}. 
. *HighInfo
. ranksum IPCandTrust if MaxInfo==1, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}    206{col 26}     40236{col 38}     39964
         {txt}Yes {c |}{res}{col 17}    181{col 26}     34842{col 38}     35114
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    387{col 26}     75078{col 38}     75078

{txt}unadjusted variance{col 22}{res}1205580.67
{txt}adjustment for ties{col 22}{res}-235153.00
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 970427.67

{txt}Ho: IPCand~t(FemCand==No) = IPCand~t(FemCand==Yes)
{col 14}z = {res}  0.276
{txt}{col 5}Prob > |z| = {res}  0.7825
{txt}
{com}. 
. 
. *IPCandEcon
. *LowInfo:
. ranksum IPCandEcon if MaxInfo==0, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}    199{col 26}     35382{col 38}     38805
         {txt}Yes {c |}{res}{col 17}    190{col 26}     40473{col 38}     37050
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    389{col 26}     75855{col 38}     75855

{txt}unadjusted variance{col 22}{res}1228825.00
{txt}adjustment for ties{col 22}{res}-291201.16
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 937623.84

{txt}Ho: IPCa~con(FemCand==No) = IPCa~con(FemCand==Yes)
{col 14}z = {res} -3.535
{txt}{col 5}Prob > |z| = {res}  0.0004
{txt}
{com}. 
. *HighInfo
. ranksum IPCandEcon if MaxInfo==1, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}    206{col 26}     40190{col 38}     39964
         {txt}Yes {c |}{res}{col 17}    181{col 26}     34888{col 38}     35114
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    387{col 26}     75078{col 38}     75078

{txt}unadjusted variance{col 22}{res}1205580.67
{txt}adjustment for ties{col 22}{res}-224557.28
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 981023.38

{txt}Ho: IPCa~con(FemCand==No) = IPCa~con(FemCand==Yes)
{col 14}z = {res}  0.228
{txt}{col 5}Prob > |z| = {res}  0.8195
{txt}
{com}. 
. 
. *IPCandMil
. *LowInfo:
. ranksum IPCandMil if MaxInfo==0, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}    199{col 26}   38702.5{col 38}     38805
         {txt}Yes {c |}{res}{col 17}    190{col 26}   37152.5{col 38}     37050
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    389{col 26}     75855{col 38}     75855

{txt}unadjusted variance{col 22}{res}1228825.00
{txt}adjustment for ties{col 22}{res}-210501.44
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res}1018323.56

{txt}Ho: IPCand~l(FemCand==No) = IPCand~l(FemCand==Yes)
{col 14}z = {res} -0.102
{txt}{col 5}Prob > |z| = {res}  0.9191
{txt}
{com}. 
. *HighInfo
. ranksum IPCandMil if MaxInfo==1, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}    206{col 26}     39498{col 38}     39964
         {txt}Yes {c |}{res}{col 17}    181{col 26}     35580{col 38}     35114
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    387{col 26}     75078{col 38}     75078

{txt}unadjusted variance{col 22}{res}1205580.67
{txt}adjustment for ties{col 22}{res}-190143.70
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res}1015436.97

{txt}Ho: IPCand~l(FemCand==No) = IPCand~l(FemCand==Yes)
{col 14}z = {res} -0.462
{txt}{col 5}Prob > |z| = {res}  0.6438
{txt}
{com}. 
. 
. *IPCandPoor
. *LowInfo:
. ranksum IPCandPoor if MaxInfo==0, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}    199{col 26}   36772.5{col 38}     38805
         {txt}Yes {c |}{res}{col 17}    190{col 26}   39082.5{col 38}     37050
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    389{col 26}     75855{col 38}     75855

{txt}unadjusted variance{col 22}{res}1228825.00
{txt}adjustment for ties{col 22}{res}-248510.47
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 980314.53

{txt}Ho: IPCand~r(FemCand==No) = IPCand~r(FemCand==Yes)
{col 14}z = {res} -2.053
{txt}{col 5}Prob > |z| = {res}  0.0401
{txt}
{com}. 
. *HighInfo
. ranksum IPCandPoor if MaxInfo==1, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}    206{col 26}     40435{col 38}     39964
         {txt}Yes {c |}{res}{col 17}    181{col 26}     34643{col 38}     35114
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    387{col 26}     75078{col 38}     75078

{txt}unadjusted variance{col 22}{res}1205580.67
{txt}adjustment for ties{col 22}{res}-158691.02
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res}1046889.65

{txt}Ho: IPCand~r(FemCand==No) = IPCand~r(FemCand==Yes)
{col 14}z = {res}  0.460
{txt}{col 5}Prob > |z| = {res}  0.6453
{txt}
{com}. 
. 
. *IPCandWages
. *LowInfo:
. ranksum IPCandWages if MaxInfo==0, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}    199{col 26}     31993{col 38}     38805
         {txt}Yes {c |}{res}{col 17}    190{col 26}     43862{col 38}     37050
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    389{col 26}     75855{col 38}     75855

{txt}unadjusted variance{col 22}{res}1228825.00
{txt}adjustment for ties{col 22}{res}-202485.24
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res}1026339.76

{txt}Ho: IPCand~s(FemCand==No) = IPCand~s(FemCand==Yes)
{col 14}z = {res} -6.724
{txt}{col 5}Prob > |z| = {res}  0.0000
{txt}
{com}. 
. *HighInfo
. ranksum IPCandWages if MaxInfo==1, by(FemCand)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

     FemCand {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
          No {c |}{res}{col 17}    206{col 26}   38027.5{col 38}     39964
         {txt}Yes {c |}{res}{col 17}    181{col 26}   37050.5{col 38}     35114
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    387{col 26}     75078{col 38}     75078

{txt}unadjusted variance{col 22}{res}1205580.67
{txt}adjustment for ties{col 22}{res}-209910.16
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 995670.51

{txt}Ho: IPCand~s(FemCand==No) = IPCand~s(FemCand==Yes)
{col 14}z = {res} -1.941
{txt}{col 5}Prob > |z| = {res}  0.0523
{txt}
{com}. 
. 
. *****TABLES X4 thru X7 recreate Tables 1 (X4), 2 (X5), X2 (X6) and X3 (X7), but use a Holms-Bonferroni adjustment to account for multiple hypothesis testing when determining statistical significance. Those corrections can be found in the Holms-Bonferroni Excel calculator.
. 
{txt}end of do-file

{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/dander/Documents/Box Sync/Research/DPTE/SurvExpvsDPTE/3PA(R&R)/R&R/Final/Dataverse/InfoPres_AppendixTables_StataLog.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}15 Feb 2018, 15:31:17
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{smcl}
{txt}{sf}{ul off}